Benchmarking of deep learning algorithms for 3D instance segmentation of confocal image datasets

Segmenting three-dimensional (3D) microscopy images is essential for understanding phenomena like morphogenesis, cell division, cellular growth, and genetic expression patterns. Recently, deep learning (DL) pipelines have been developed, which claim to provide high accuracy segmentation of cellular...

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Detalles Bibliográficos
Autores principales: Kar, Anuradha, Petit, Manuel, Refahi, Yassin, Cerutti, Guillaume, Godin, Christophe, Traas, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9009699/
https://www.ncbi.nlm.nih.gov/pubmed/35421081
http://dx.doi.org/10.1371/journal.pcbi.1009879

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9009699/
https://www.ncbi.nlm.nih.gov/pubmed/35421081
http://dx.doi.org/10.1371/journal.pcbi.1009879

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